The Gartner IT Glossary defines Enterprise Information Management (EIM) as:
“An integrative discipline for structuring, describing and governing information assets across organizational and technological boundaries to improve efficiency, promote transparency and enable business insight.”
According toOpenText, EIM:
“Helps businesses attain 360-degree views of their Big Data and Analytics by streamlining organizational workflows, increasing the quality of information and creating integrated user interfaces for end users within a single source platform.”
[dv-promo buttontext=’TAKE OUR DATA MANAGEMENT CERTIFICATION PREP COURSES’ buttonurl=’https://training.dataversity.net/learning-paths/dmbok-and-cdmp-preparation-learning-plan?utm_source=dataversity&utm_medium=inline_ad&utm_campaign=DMBOK_LP_temp2&utm_content=copy3′]
Other Definitions of EIM Include:
- “Provides access to key institutional data to meet emerging data and information needs of constituents.” (University of New Hampshire)
- “Capabilities to integrate, cleanse, manage, associate, and archive data to optimize business processes and analytical insights.” (SAP)
- “The capability to build efficient and agile Data Management operations; which creates, captures, distributes and consumes relevant information.” (CIOReview)
- “Portfolio of solutions that enable organizations to trust the credibility and consistency of their data, so they can make critical business decisions.” (Microsoft)
- “The set of business processes, disciplines and practices used to manage the information created from an organization’s data as an enterprise asset.” (EIM Institute)
Businesses Develop EIM to:
- Manage records and information.
- Improve the way information is managed and leveraged across a company.
- Enable customers to transform their enterprise platforms, so they can better compete in a digital age.
- Automate business processes, bring transparency in the business operations, improvise business operational efficiency, and provide business insights.
- Aid in the implementation of Big Data.
- Help organizations work more efficiently with technologies such as Hadoop.
Image used under license from Shutterstock.com
